PhD in Frugal Distributed Training with Volatile Resources Inria Centre at Université Côte d’Azur in France

Inria is advertising a Post-Doctoral Research Visit in Topology Design for Decentralized Federated Learning within the NEO project-team and the broader FedMalin research initiative. The project sits at the intersection of computer science , mathematics , machine learning , optimization , network science , and privacy . The research focuses on designing communication topologies for decentralized / peer-to-peer federated learning, balancing convergence speed and communication cost, and studying bo...

Inria is advertising a postdoctoral research visit in distributed learning for streaming data within the PRIDeL Associate Team project, involving Inria , Simula , and NYCU . The research sits at the intersection of distributed/federated learning , communication-efficient learning , differential privacy , edge inference networks , and learning with streaming or time-series data . The position is hosted by an Inria Centre in France and is expected to start on 2027-01-01 (default start date no late...

PhD studentship at the University of Surrey in Computer Science on robust, certified, and scalable federated machine unlearning for privacy-preserving AI . The project sits at the intersection of federated learning , machine learning , differential privacy , adversarial robustness , distributed systems , and trustworthy AI . The research aims to develop next-generation federated machine unlearning methods that can efficiently remove the influence of specific data from trained models while preser...

PhD position in automatic control at Université de Lorraine in Nancy, France, within the Control Identification Diagnosis (CID) Department, CRAN . The project focuses on heterogeneity in federated learning using an open multi-agent systems approach, bringing together ideas from control theory, machine learning, optimization, and applied mathematics. Eligibility: applicants should hold a Master's or engineering degree in automatic control, machine learning, optimization, or applied mathematics, a...

ESSEC Data Analytics Group is announcing applications for the PhD program in Data Analytics at ESSEC Business School . The track is designed for students interested in statistics , econometrics , applied probability , risk , machine learning , and related quantitative research areas. This is a PhD-level opening, with applications welcomed for the next admissions cycle. Deadline: Apply by January 15, 2027 for full consideration in the first round. No funding details, supervisor names, or specific...